Repository Index

Simple MPL-2.0-licensed C++ geometry processing library.

• geometry-processing

C# library for 2D/3D geometric computation, mesh algorithms, and so on. Boost license.

Kratos Multiphysics (A.K.A Kratos) is a framework for building parallel multi-disciplinary simulation software. Modularity, extensibility and HPC are the main objectives. Kratos has BSD license and is written in C++ with extensive Python interface.

• kratos
• fem
• dem
• parallel-computing

ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.

• spark
• big-data
• bioinformatics
• genomics

A Swift micro library for generating Sunrise and Sunset times on device, requiring no network access.

• swift
• sunrise
• sunset
• ios

Dense and sparse linear algebra library for Ruby via SciRuby

Go package for calculating the sunrise and sunset times for a given location

• golang
• calendar
• astronomy
• sunrise

Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.

• disentanglement
• drug-discovery
• genomics
• perturbation

A tool for cell instance aware segmentation in densely packed 3D volumetric images

• segmentation
• deep-learning
• bioinformatics
• neural-network

:new_moon: Lune.js — Calculate the phases of the moon

• moon
• lune
• javascript
• phase

PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.

Classification and Gradient-based Localization of Chest Radiographs using PyTorch.

• fine-tuning
• vgg16
• resnet18
• densenet121

Numpy like array object for common lisp

PyTorch implementation of "TGSA: Protein-Protein Association-Based Twin Graph Neural Networks for Drug Response Prediction with Similarity Augmentation"

Interpretable modeling of cellular responses to drug perturbations using cycle consistence learning

DeepAEG: A model for predicting cancer drug response based on data enhancement and edge-collaborative update strategies

Interpretable drug response prediction with graph neural networks over drugs, cell lines, and genes.

Sunrise and sunset time computation for MicroPython

GNN-based gene-selection deep learning model for drug response prediction